7件のai engineer at an "ai native" companyのおすすめの求人

AI Engineer - DealOn
株式会社LegalOn Technologies —渋谷区
- 年収 770万円 ~ 1,500万円
- Azure
- Windows
- データベース経験
- 育休あり
AI Engineer at an "AI Native" Company
ネクスト・ムーブ　株式会社 —東京都 23区
- 年収 800万円 ~ 2,000万円
- 英語
- 大卒
- 機械学習
- フレックスタイム制度
クイック応募
Frontend Engineer at an "AI Native" Company
ネクスト・ムーブ　株式会社 —東京都 23区
- 年収 600万円 ~ 2,000万円
- 英語
- 大卒
- ソフトウェア開発
- フレックスタイム制度
クイック応募
Forward Deployed AI Engineer
Adobe —品川区
- Azure
- DevOps経験
- Java
Staff Technical Support Engineer(Platform)
ServiceNow —千代田区有楽町
- 一部在宅
- Java
- SQL
- JavaScript
クイック応募
Enterprise Account Exec
ServiceNow —千代田区有楽町
- 営業経験
- IT経験
クイック応募
8日前
Senior Solution Sales Executive - CRM & Industry Workflows
ServiceNow —千代田区有楽町
- 一部在宅
- CRMソフトウェア
- 営業経験
クイック応募
8日前

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AI Engineer - DealOn
株式会社LegalOn Technologies —渋谷区
5+ years of development experience in at least one of the following: Python, TypeScript, or Go. Own the design, development, and operation of AI-native features…
年収 770万円 ~ 1,500万円
AI Engineer at an "AI Native" Company
ネクスト・ムーブ　株式会社 —東京都 23区
We are actively seeking a talented AI Engineer to design, develop and operate CV algorithms, Machine Learning models, including CNNs and Transformers, and…
年収 800万円 ~ 2,000万円
クイック応募

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AI Engineer - DealOn

株式会社LegalOn Technologies
渋谷区

今すぐ応募する

求人の詳細

年収 770万円 ~ 1,500万円

福利厚生

ビザサポートあり
育休あり

資格とスキル

Elasticsearch
Azure
オペレーティングシステム
Go
Slack
Google Cloud Platform
日本語
Windows
データベース経験
AWS
自然言語処理
GitHub
API
Mac OS
AI
Figma
TypeScript
Python

仕事内容の詳細

仕事概要

LegalOn Technologies is a global leader in legal AI solutions, trusted by more than 8,000 companies and law firms worldwide. The company empowers legal teams to review and negotiate contracts faster, with greater accuracy and confidence. Operating across Japan, the United States, and Europe, LegalOn is the first AI company from Japan to surpass ¥10 billion in annual recurring revenue (ARR) and has raised over $200M from leading investors including SoftBank and Goldman Sachs. It also has one of the largest and most global AI teams of any startups in Japan. In 2025, LegalOn achieved its first M&A by welcoming Germany's Fides Technology into the group, further accelerating global expansion. LegalOn combines LLMs, intelligent Agents and intelligent AI-driven workflows. Beyond legal, the company now offers specialized AI solutions including "CorporateOn," "CXOn," and "DealOn" to support diverse business domains requiring high expertise. In partnership with OpenAI, the company is redefining the legal AI landscape and developing innovative solutions for the future of professional work.

For more details about our company, products, and development organization:
https://legalforce-recruit.notion.site/LegalOn-Technologies-Candidate-Handbook-17d82a58637480d2836ae138e5b5ee95

What Mission and Challenges You’ll Take On

Own the design, development, and operation of AI-native features centered on RAG, LLMs, and AI agents, going beyond model implementation to deeply integrate with UI/UX and business workflows to deliver truly usable AI experiences
Lead end-to-end decision-making across model selection, inference architecture, RAG design, and agent design based on specific use cases, balancing both quality and speed
Design and implement robust operational frameworks—including evaluation, monitoring, logging, and cost optimization—to continuously improve and maintain a reliable and trustworthy AI experience

What You’ll Do

Design and implement highly reliable agent-based LLM workflows for production environments
Build execution infrastructure for AI agents by integrating with external services and internal APIs
Evaluate and select appropriate external models, frameworks, and services based on use case fit
Translate user needs into concrete requirements through stakeholder discussions, and collaborate cross-functionally to design optimal agent-based solutions
Establish testing frameworks and monitoring systems to evaluate agent performance, and visualize key metrics
Define development processes and quality standards through code reviews and comprehensive documentation
Identify and address technical challenges to ensure the accuracy, reliability, performance, and scalability of AI systems, driving continuous improvement

必須スキル

5+ years of development experience in at least one of the following: Python, TypeScript, or Go
Hands-on experience building applications using LLM APIs (e.g., OpenAI, Anthropic, Google Gemini, Mistral)
Practical experience developing AI agents (e.g., LangChain, CrewAI, OpenAI Agents SDK, Google ADK, MCP) and working with context engineering
Experience designing and implementing RAG systems, including embeddings, vector databases, and retrieval algorithms
Experience improving generation quality through prompt optimization and the design of evaluation metrics
Solid foundation in natural language processing (NLP) and experience building data pipelines
Japanese proficiency equivalent to JLPT N1

歓迎スキル

Experience building and operating search infrastructure using Elasticsearch, OpenSearch, Vespa, or similar technologies
Experience designing systems that integrate knowledge graphs or structured data with RAG
Experience designing and operating systems in cloud environments such as AWS, Google Cloud, or Azure
Experience preprocessing and normalizing unstructured text data, such as customer emails, FAQs, and product documentation

応募概要

給与

7.7million to 15million yen per year

勤務地

19F, Shibuya Sakura Stage SHIBUYA TOWER, 1-1 Sakuragaoka-cho, Shibuya-ku, Tokyo 150-6219, Japan

This is not a fully remote position. Hybrid work is required, and visa support is available.

雇用形態

Full-time

勤務体系

Working hours: Full flex system without core hours
Overtime work beyond designated working hours: Yes
Break time: 1 hour

試用期間

3 months

福利厚生

Work Environment & Tools

Choice of laptop: Mac or Windows (Mac with US keyboard available)
Access to generative AI tools:
ChatGPT Enterprise, Notion AI, Gemini for Google Workspace, Slack AI
Access to developer tools:
Claude Code, Cursor, GitHub Copilot, Devin, Codex, Figma AI, and more
Side jobs permitted with prior approval

Professional Development

Self-development support available for books, online courses, certifications, and more
Language learning support

Time Off

Weekends and national holidays off
Paid leave and year-end/New Year holidays
Special leave: sick leave, work-life balance leave, birthday leave
Maternity leave, childcare leave, and nursing care leave

Health & Welfare

Social insurance coverage: Health insurance, employee pension insurance, unemployment insurance, and worker’s compensation insurance
Influenza vaccination support
No indoor smoking (a designated smoking room is available in the building)
Employee stock ownership program
Certified as an “Eruboshi” company (recognized for promoting women’s participation and advancement in the workplace)

企業情報

企業名

株式会社LegalOn Technologies

設立年月

2017年4月

本社所在地

東京都渋谷区桜丘町1-1 渋谷サクラステージSHIBUYAタワー19階

資本金

201.5億円（資本準備金等含）

従業員数

約632名（役員含む／2026年4月時点）

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ai engineer at an "ai native" company 件

AI Engineer - DealOn

AI Engineer at an "AI Native" Company

Frontend Engineer at an "AI Native" Company

Forward Deployed AI Engineer

Staff Technical Support Engineer(Platform)

Enterprise Account Exec

Senior Solution Sales Executive - CRM & Industry Workflows

More jobs to discover

ai engineer at an "ai native" companyの新着求人をメールで受け取る

仕事概要

What Mission and Challenges You’ll Take On

What You’ll Do

必須スキル

歓迎スキル

応募概要

給与

勤務地

雇用形態

勤務体系

試用期間

福利厚生

企業情報

企業名

設立年月

本社所在地

資本金

従業員数

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